Global/local object structure affects memory-driven capture of attention

Feature-based memory-driven attentional capture: visual working memory content affects visual attention.

In 7 experiments, the authors explored whether visual attention (the ability to select relevant visual information) and visual working memory (the ability to retain relevant visual information) share the same content representations. The presence of singleton distractors interfered more strongly with a visual search task when it was accompanied by an additional memory task. Singleton distractor...

Object Perception , Attention , & Memory

Attention Driven Memory

Categorization is a skill which is used extensively in everyday life and as therefore an important aspect of human cognition. Consequently a variety of studies exist which address the topic and revealed that diverse factors affect human categorization performance. A critical but not extensively studied factor is time. Imagine watching a basketball game for 30 minutes. In this period of time ple...

Object-based Encoding in Visual Working Memory: Evidence from Memory-driven Attentional Capture.

Visual working memory (VWM) adopts a specific manner of object-based encoding (OBE) to extract perceptual information: Whenever one feature-dimension is selected for entry into VWM, the others are also extracted. Currently most studies revealing OBE probed an 'irrelevant-change distracting effect', where changes of irrelevant-features dramatically affected the performance of the target feature....

Attention-Driven Parts-Based Object Detection

Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, data-driven object detection system that combines parts-based matching and view-based attention for faster detection. We propose a simple competitive policy that allows incremental addition of new object classes to the ...